Triple
T24157958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phan Khắc Sửu |
E598740
|
entity |
| Predicate | wasCivilianLeaderDuring |
P154819
|
FINISHED |
| Object | Vietnam War |
E3824
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vietnam War | Statement: [Phan Khắc Sửu, wasCivilianLeaderDuring, Vietnam War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasCivilianLeaderDuring Context triple: [Phan Khắc Sửu, wasCivilianLeaderDuring, Vietnam War]
-
A.
wasWorldLeaderIn
Indicates that an entity held a position as the primary political leader of a specified country or political entity during a particular time period.
-
B.
hadPrincipalLeader
Indicates that an entity was led or headed by a primary or chief leader.
-
C.
militaryLeader
Indicates that one entity serves as the commanding military leader of another entity, such as a state, organization, or armed force.
-
D.
hasAlliedLeader
Indicates that one entity serves as an allied leader or commander in relation to another entity.
-
E.
servedAsPresidentDuring
Indicates that a person held the office of president for the duration of a specified time period or event.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e288cb0a3081909ef221744f274384 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e0e6d9fc8190a296f4f2b6d0d5e1 |
completed | April 29, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fad33825c81909fa6f19be6d18ece |
completed | May 22, 2026, 1:11 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 11:31 p.m.